A systematic review on recent advancements in deep and machine learning based detection and classification of acute lymphoblastic leukemia
Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …
required in healthcare centers. It has a significant role in early diagnosis and treatment …
Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …
of automated acute leukaemia classification tasks. The review depends on three reliable …
Efficient classification of white blood cell leukemia with improved swarm optimization of deep features
Abstract White Blood Cell (WBC) Leukaemia is caused by excessive production of
leukocytes in the bone marrow, and image-based detection of malignant WBCs is important …
leukocytes in the bone marrow, and image-based detection of malignant WBCs is important …
An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia
Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear
The abnormal growth of leukocytes causes hematologic malignancies such as leukemia.
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
Acute lymphoblastic leukemia detection and classification of its subtypes using pretrained deep convolutional neural networks
S Shafique, S Tehsin - Technology in cancer research & …, 2018 - journals.sagepub.com
Leukemia is a fatal disease of white blood cells which affects the blood and bone marrow in
human body. We deployed deep convolutional neural network for automated detection of …
human body. We deployed deep convolutional neural network for automated detection of …
IoMT‐based automated detection and classification of leukemia using deep learning
N Bibi, M Sikandar, I Ud Din… - Journal of healthcare …, 2020 - Wiley Online Library
For the last few years, computer‐aided diagnosis (CAD) has been increasing rapidly.
Numerous machine learning algorithms have been developed to identify different diseases …
Numerous machine learning algorithms have been developed to identify different diseases …
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification
LHS Vogado, RMS Veras, FHD Araujo… - … Applications of Artificial …, 2018 - Elsevier
Leukemia is a pathology that affects young people and adults, causing premature death and
several other symptoms. Computer-aided systems can be used to reduce the possibility of …
several other symptoms. Computer-aided systems can be used to reduce the possibility of …
[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis
Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological
disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death …
disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death …